Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study.
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Magnetic Resonance Imaging to Detect Early Molecular and Cellular Changes in Alzheimer's DiseaseTargeting Alzheimer's Disease Neuro-Metabolic Dysfunction with a Small Molecule Nuclear Receptor Agonist (T3D-959) Reverses Disease Pathologies.Detection of Alzheimer's disease by displacement field and machine learning.Advances in Studying Brain Morphology: The Benefits of Open-Access Data.Detection of Alzheimer's Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging.Combining multiple anatomical MRI measures improves Alzheimer's disease classification.Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex.Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease.
P2860
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P2860
Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study.
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name
Head-to-head comparison of two ...... tional and longitudinal study.
@ast
Head-to-head comparison of two ...... tional and longitudinal study.
@en
type
label
Head-to-head comparison of two ...... tional and longitudinal study.
@ast
Head-to-head comparison of two ...... tional and longitudinal study.
@en
prefLabel
Head-to-head comparison of two ...... tional and longitudinal study.
@ast
Head-to-head comparison of two ...... tional and longitudinal study.
@en
P2093
P2860
P50
P1433
P1476
Head-to-head comparison of two ...... tional and longitudinal study.
@en
P2093
David Manset
Jean-François Mangin
Tristan Glatard
neuGRID Consortium, for the Alzheimer’s Disease Neuroimaging Initiative
P2860
P304
P356
10.1371/JOURNAL.PONE.0117692
P407
P577
2015-03-17T00:00:00Z